Overview

Dataset statistics

Number of variables63
Number of observations266
Missing cells11532
Missing cells (%)68.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory160.5 KiB
Average record size in memory617.9 B

Variable types

Categorical2
Unsupported41
Numeric20

Alerts

Country Name has a high cardinality: 266 distinct values High cardinality
Country Code has a high cardinality: 266 distinct values High cardinality
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
2000 is highly correlated with 2001 and 18 other fieldsHigh correlation
2001 is highly correlated with 2000 and 18 other fieldsHigh correlation
2002 is highly correlated with 2000 and 18 other fieldsHigh correlation
2003 is highly correlated with 2000 and 18 other fieldsHigh correlation
2004 is highly correlated with 2000 and 18 other fieldsHigh correlation
2005 is highly correlated with 2000 and 18 other fieldsHigh correlation
2006 is highly correlated with 2000 and 18 other fieldsHigh correlation
2007 is highly correlated with 2000 and 18 other fieldsHigh correlation
2008 is highly correlated with 2000 and 18 other fieldsHigh correlation
2009 is highly correlated with 2000 and 18 other fieldsHigh correlation
2010 is highly correlated with 2000 and 18 other fieldsHigh correlation
2011 is highly correlated with 2000 and 18 other fieldsHigh correlation
2012 is highly correlated with 2000 and 18 other fieldsHigh correlation
2013 is highly correlated with 2000 and 18 other fieldsHigh correlation
2014 is highly correlated with 2000 and 18 other fieldsHigh correlation
2015 is highly correlated with 2000 and 18 other fieldsHigh correlation
2016 is highly correlated with 2000 and 18 other fieldsHigh correlation
2017 is highly correlated with 2000 and 18 other fieldsHigh correlation
2018 is highly correlated with 2000 and 18 other fieldsHigh correlation
2019 is highly correlated with 2000 and 18 other fieldsHigh correlation
1960 has 266 (100.0%) missing values Missing
1961 has 266 (100.0%) missing values Missing
1962 has 266 (100.0%) missing values Missing
1963 has 266 (100.0%) missing values Missing
1964 has 266 (100.0%) missing values Missing
1965 has 266 (100.0%) missing values Missing
1966 has 266 (100.0%) missing values Missing
1967 has 266 (100.0%) missing values Missing
1968 has 266 (100.0%) missing values Missing
1969 has 266 (100.0%) missing values Missing
1970 has 266 (100.0%) missing values Missing
1971 has 266 (100.0%) missing values Missing
1972 has 266 (100.0%) missing values Missing
1973 has 266 (100.0%) missing values Missing
1974 has 266 (100.0%) missing values Missing
1975 has 266 (100.0%) missing values Missing
1976 has 266 (100.0%) missing values Missing
1977 has 266 (100.0%) missing values Missing
1978 has 266 (100.0%) missing values Missing
1979 has 266 (100.0%) missing values Missing
1980 has 266 (100.0%) missing values Missing
1981 has 266 (100.0%) missing values Missing
1982 has 266 (100.0%) missing values Missing
1983 has 266 (100.0%) missing values Missing
1984 has 266 (100.0%) missing values Missing
1985 has 266 (100.0%) missing values Missing
1986 has 266 (100.0%) missing values Missing
1987 has 266 (100.0%) missing values Missing
1988 has 266 (100.0%) missing values Missing
1989 has 266 (100.0%) missing values Missing
1990 has 266 (100.0%) missing values Missing
1991 has 266 (100.0%) missing values Missing
1992 has 266 (100.0%) missing values Missing
1993 has 266 (100.0%) missing values Missing
1994 has 266 (100.0%) missing values Missing
1995 has 266 (100.0%) missing values Missing
1996 has 266 (100.0%) missing values Missing
1997 has 266 (100.0%) missing values Missing
1998 has 266 (100.0%) missing values Missing
1999 has 266 (100.0%) missing values Missing
2000 has 34 (12.8%) missing values Missing
2001 has 34 (12.8%) missing values Missing
2002 has 33 (12.4%) missing values Missing
2003 has 31 (11.7%) missing values Missing
2004 has 31 (11.7%) missing values Missing
2005 has 31 (11.7%) missing values Missing
2006 has 31 (11.7%) missing values Missing
2007 has 31 (11.7%) missing values Missing
2008 has 31 (11.7%) missing values Missing
2009 has 31 (11.7%) missing values Missing
2010 has 30 (11.3%) missing values Missing
2011 has 29 (10.9%) missing values Missing
2012 has 30 (11.3%) missing values Missing
2013 has 31 (11.7%) missing values Missing
2014 has 31 (11.7%) missing values Missing
2015 has 31 (11.7%) missing values Missing
2016 has 32 (12.0%) missing values Missing
2017 has 31 (11.7%) missing values Missing
2018 has 31 (11.7%) missing values Missing
2019 has 32 (12.0%) missing values Missing
2020 has 266 (100.0%) missing values Missing
Country Name is uniformly distributed Uniform
Country Code is uniformly distributed Uniform
Country Name has unique values Unique
Country Code has unique values Unique
1960 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1961 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1962 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1963 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1964 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1965 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1966 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1967 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1968 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1969 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1970 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1971 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1972 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1973 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1974 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1975 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1976 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1977 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1978 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1979 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1980 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1981 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1982 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1983 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1984 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1985 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1986 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1987 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1988 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1989 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1990 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1991 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1992 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1993 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1994 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1995 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1996 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1997 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1998 is an unsupported type, check if it needs cleaning or further analysis Unsupported
1999 is an unsupported type, check if it needs cleaning or further analysis Unsupported
2020 is an unsupported type, check if it needs cleaning or further analysis Unsupported

Reproduction

Analysis started2022-04-02 19:56:00.621673
Analysis finished2022-04-02 19:56:40.088365
Duration39.47 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Country Name
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.2 KiB
Aruba
 
1
Oman
 
1
Malawi
 
1
Malaysia
 
1
North America
 
1
Other values (261)
261 

Length

Max length52
Median length9
Mean length12.40225564
Min length4

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)100.0%

Sample

1st rowAruba
2nd rowAfrica Eastern and Southern
3rd rowAfghanistan
4th rowAfrica Western and Central
5th rowAngola

Common Values

ValueCountFrequency (%)
Aruba1
 
0.4%
Oman1
 
0.4%
Malawi1
 
0.4%
Malaysia1
 
0.4%
North America1
 
0.4%
Namibia1
 
0.4%
New Caledonia1
 
0.4%
Niger1
 
0.4%
Nigeria1
 
0.4%
Nicaragua1
 
0.4%
Other values (256)256
96.2%

Length

2022-04-02T14:56:40.176131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20
 
4.0%
and12
 
2.4%
income11
 
2.2%
ida10
 
2.0%
islands9
 
1.8%
africa9
 
1.8%
ibrd8
 
1.6%
asia8
 
1.6%
countries7
 
1.4%
rep7
 
1.4%
Other values (310)404
80.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

Country Code
Categorical

HIGH CARDINALITY
UNIFORM
UNIQUE

Distinct266
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.7 KiB
ABW
 
1
OMN
 
1
MWI
 
1
MYS
 
1
NAC
 
1
Other values (261)
261 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)100.0%

Sample

1st rowABW
2nd rowAFE
3rd rowAFG
4th rowAFW
5th rowAGO

Common Values

ValueCountFrequency (%)
ABW1
 
0.4%
OMN1
 
0.4%
MWI1
 
0.4%
MYS1
 
0.4%
NAC1
 
0.4%
NAM1
 
0.4%
NCL1
 
0.4%
NER1
 
0.4%
NGA1
 
0.4%
NIC1
 
0.4%
Other values (256)256
96.2%

Length

2022-04-02T14:56:40.281874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
abw1
 
0.4%
aut1
 
0.4%
btn1
 
0.4%
brn1
 
0.4%
afg1
 
0.4%
afw1
 
0.4%
ago1
 
0.4%
alb1
 
0.4%
and1
 
0.4%
arb1
 
0.4%
Other values (256)256
96.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

1960
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1961
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1962
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1963
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1964
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1965
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1966
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1967
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1968
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1969
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1970
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1971
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1972
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1973
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1974
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1975
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1976
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1977
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1978
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1979
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1980
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1981
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1982
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1983
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1984
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1985
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1986
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1987
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1988
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1989
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1990
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1991
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1992
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1993
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1994
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1995
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1996
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1997
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1998
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

1999
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

2000
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct229
Distinct (%)98.7%
Missing34
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean49.3886208
Minimum4.00191593
Maximum99.46162415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:40.394546image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.00191593
5-th percentile16.70670843
Q133.65609264
median47.80853404
Q368.83442497
95-th percentile83.38900032
Maximum99.46162415
Range95.45970822
Interquartile range (IQR)35.17833233

Descriptive statistics

Standard deviation21.21974422
Coefficient of variation (CV)0.429648447
Kurtosis-0.8673793434
Mean49.3886208
Median Absolute Deviation (MAD)17.3699175
Skewness0.1010802341
Sum11458.16002
Variance450.2775449
MonotonicityNot monotonic
2022-04-02T14:56:40.524228image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.337180912
 
0.8%
23.543536952
 
0.8%
40.609506592
 
0.8%
34.411872861
 
0.4%
15.5103551
 
0.4%
53.527648931
 
0.4%
51.87318421
 
0.4%
46.657085421
 
0.4%
45.696814271
 
0.4%
50.32892991
 
0.4%
Other values (219)219
82.3%
(Missing)34
 
12.8%
ValueCountFrequency (%)
4.001915931
0.4%
6.347920891
0.4%
8.806719781
0.4%
9.57921411
0.4%
10.413389211
0.4%
11.409396171
0.4%
11.860525131
0.4%
13.159116741
0.4%
13.903455731
0.4%
14.863944051
0.4%
ValueCountFrequency (%)
99.461624151
0.4%
96.680358891
0.4%
92.082679751
0.4%
88.704063421
0.4%
87.882377621
0.4%
87.482208251
0.4%
85.025207521
0.4%
84.475440981
0.4%
84.298927311
0.4%
84.168685911
0.4%

2001
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct229
Distinct (%)98.7%
Missing34
Missing (%)12.8%
Infinite0
Infinite (%)0.0%
Mean49.30607104
Minimum3.92997122
Maximum96.30434418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:40.653450image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.92997122
5-th percentile17.98800325
Q133.50653839
median46.54550648
Q368.47935867
95-th percentile81.63244133
Maximum96.30434418
Range92.37437296
Interquartile range (IQR)34.97282028

Descriptive statistics

Standard deviation20.62075579
Coefficient of variation (CV)0.418219407
Kurtosis-0.8651647675
Mean49.30607104
Median Absolute Deviation (MAD)16.20432091
Skewness0.07464773446
Sum11439.00848
Variance425.2155693
MonotonicityNot monotonic
2022-04-02T14:56:40.783156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.84981132
 
0.8%
21.373954572
 
0.8%
42.05548312
 
0.8%
34.903606411
 
0.4%
15.324248311
 
0.4%
53.783477781
 
0.4%
49.387004851
 
0.4%
50.512866971
 
0.4%
46.541633631
 
0.4%
51.916599271
 
0.4%
Other values (219)219
82.3%
(Missing)34
 
12.8%
ValueCountFrequency (%)
3.929971221
0.4%
7.590199471
0.4%
7.925199511
0.4%
8.471427921
0.4%
8.616899491
0.4%
10.39861871
0.4%
11.264609341
0.4%
11.269131661
0.4%
15.261018751
0.4%
15.324248311
0.4%
ValueCountFrequency (%)
96.304344181
0.4%
92.020706181
0.4%
91.216056821
0.4%
88.139770511
0.4%
87.448120121
0.4%
84.047172551
0.4%
83.405685421
0.4%
83.193252561
0.4%
82.800086981
0.4%
82.199729921
0.4%

2002
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct230
Distinct (%)98.7%
Missing33
Missing (%)12.4%
Infinite0
Infinite (%)0.0%
Mean48.52173618
Minimum0.89142376
Maximum95.84044647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:40.911813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.89142376
5-th percentile16.26685791
Q131.58302879
median45.84129103
Q367.19437408
95-th percentile80.60442199
Maximum95.84044647
Range94.94902271
Interquartile range (IQR)35.61134529

Descriptive statistics

Standard deviation20.80802436
Coefficient of variation (CV)0.4288392378
Kurtosis-0.9378116927
Mean48.52173618
Median Absolute Deviation (MAD)16.15909818
Skewness0.05682986881
Sum11305.56453
Variance432.9738779
MonotonicityNot monotonic
2022-04-02T14:56:41.038447image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.001667112
 
0.8%
21.038734332
 
0.8%
42.893084892
 
0.8%
33.954265591
 
0.4%
20.126966481
 
0.4%
52.899879461
 
0.4%
36.354721071
 
0.4%
51.213775631
 
0.4%
46.362544211
 
0.4%
53.094245911
 
0.4%
Other values (220)220
82.7%
(Missing)33
 
12.4%
ValueCountFrequency (%)
0.891423761
0.4%
3.928527591
0.4%
6.755654341
0.4%
8.298072811
0.4%
9.202363971
0.4%
11.75549031
0.4%
11.939441681
0.4%
13.915637021
0.4%
14.242747311
0.4%
14.243698121
0.4%
ValueCountFrequency (%)
95.840446471
0.4%
88.453933721
0.4%
88.074157711
0.4%
87.942115781
0.4%
83.963150021
0.4%
83.80577851
0.4%
83.589447021
0.4%
83.469985961
0.4%
82.88494111
0.4%
82.572135931
0.4%

2003
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean48.7063143
Minimum6.01216459
Maximum96.13912201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:41.176198image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.01216459
5-th percentile15.8377883
Q132.55037047
median45.85961914
Q367.9675293
95-th percentile81.29201584
Maximum96.13912201
Range90.12695742
Interquartile range (IQR)35.41715883

Descriptive statistics

Standard deviation20.84934809
Coefficient of variation (CV)0.4280625292
Kurtosis-0.9850305136
Mean48.7063143
Median Absolute Deviation (MAD)16.65306473
Skewness0.04611768192
Sum11445.98386
Variance434.6953157
MonotonicityNot monotonic
2022-04-02T14:56:41.302367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.78517722
 
0.8%
20.38093672
 
0.8%
43.193199172
 
0.8%
31.346160891
 
0.4%
74.911209111
 
0.4%
35.39363481
 
0.4%
51.940990451
 
0.4%
46.288706391
 
0.4%
53.399349211
 
0.4%
22.406908041
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
6.012164591
0.4%
7.280444151
0.4%
8.834738731
0.4%
9.407268521
0.4%
10.092553141
0.4%
10.205893521
0.4%
10.241585731
0.4%
12.795800211
0.4%
12.82516671
0.4%
14.28571511
0.4%
ValueCountFrequency (%)
96.139122011
0.4%
87.481666561
0.4%
86.99961091
0.4%
86.472717291
0.4%
83.909851071
0.4%
83.864837651
0.4%
83.166793821
0.4%
83.130020141
0.4%
83.068908691
0.4%
82.94866181
0.4%

2004
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean48.32387212
Minimum4.21226835
Maximum97.121315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:41.437567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.21226835
5-th percentile16.76615105
Q132.4461193
median46.3011166
Q365.72672653
95-th percentile80.20272217
Maximum97.121315
Range92.90904665
Interquartile range (IQR)33.28060723

Descriptive statistics

Standard deviation20.50533069
Coefficient of variation (CV)0.4243312837
Kurtosis-0.8997750019
Mean48.32387212
Median Absolute Deviation (MAD)15.85579647
Skewness0.01849177783
Sum11356.10995
Variance420.4685867
MonotonicityNot monotonic
2022-04-02T14:56:41.570213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.006930292
 
0.8%
19.852400532
 
0.8%
42.992685252
 
0.8%
32.919666291
 
0.4%
71.083343511
 
0.4%
21.063899991
 
0.4%
50.936717991
 
0.4%
46.669087221
 
0.4%
48.883613591
 
0.4%
23.567594531
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
4.212268351
0.4%
5.053044321
0.4%
5.535271641
0.4%
7.555913931
0.4%
9.642604831
0.4%
10.226752281
0.4%
10.880519871
0.4%
12.006516461
0.4%
13.694596291
0.4%
14.393451691
0.4%
ValueCountFrequency (%)
97.1213151
0.4%
89.577949521
0.4%
87.602493291
0.4%
84.496597291
0.4%
83.54907991
0.4%
83.090522771
0.4%
83.01723481
0.4%
82.691101071
0.4%
81.914009091
0.4%
81.1202241
0.4%

2005
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean48.3740394
Minimum5.12782812
Maximum96.42111969
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:41.698869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.12782812
5-th percentile15.1745204
Q132.52288818
median46.84946882
Q364.96996688
95-th percentile81.58829803
Maximum96.42111969
Range91.29329157
Interquartile range (IQR)32.4470787

Descriptive statistics

Standard deviation20.84869498
Coefficient of variation (CV)0.4309893331
Kurtosis-0.8787133671
Mean48.3740394
Median Absolute Deviation (MAD)16.7691065
Skewness0.03294697743
Sum11367.89926
Variance434.6680824
MonotonicityNot monotonic
2022-04-02T14:56:41.828521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.248792162
 
0.8%
21.116354262
 
0.8%
42.712288892
 
0.8%
32.983047491
 
0.4%
89.873039251
 
0.4%
24.479877471
 
0.4%
48.899898531
 
0.4%
46.849468821
 
0.4%
44.60986711
 
0.4%
33.82760621
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
5.127828121
0.4%
5.319347861
0.4%
5.919267181
0.4%
6.463637831
0.4%
7.291221621
0.4%
10.568295481
0.4%
11.28513051
0.4%
12.42663861
0.4%
13.781746861
0.4%
13.858957291
0.4%
ValueCountFrequency (%)
96.421119691
0.4%
91.347816471
0.4%
89.873039251
0.4%
85.226257321
0.4%
84.988876341
0.4%
84.865081791
0.4%
84.145591741
0.4%
83.744064331
0.4%
83.666038511
0.4%
83.051155091
0.4%

2006
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean48.23785681
Minimum4.6865387
Maximum87.56666565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:41.956208image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.6865387
5-th percentile14.39070301
Q132.28305245
median46.93620754
Q365.85153199
95-th percentile81.15990371
Maximum87.56666565
Range82.88012695
Interquartile range (IQR)33.56847954

Descriptive statistics

Standard deviation20.91441969
Coefficient of variation (CV)0.4335685927
Kurtosis-0.9435951861
Mean48.23785681
Median Absolute Deviation (MAD)16.50352024
Skewness-0.07702552497
Sum11335.89635
Variance437.4129509
MonotonicityNot monotonic
2022-04-02T14:56:42.083862image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.58997772
 
0.8%
20.956929352
 
0.8%
45.807897582
 
0.8%
30.429965971
 
0.4%
87.566665651
 
0.4%
19.211444851
 
0.4%
53.872383121
 
0.4%
47.585844991
 
0.4%
41.07841111
 
0.4%
35.43542481
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
4.68653871
0.4%
5.151194571
0.4%
6.627460481
0.4%
6.878369331
0.4%
8.261585241
0.4%
8.321028711
0.4%
10.431286811
0.4%
11.159468651
0.4%
11.710427281
0.4%
11.930838581
0.4%
ValueCountFrequency (%)
87.566665651
0.4%
85.59683991
0.4%
85.502952581
0.4%
85.311470031
0.4%
84.659454351
0.4%
83.870254521
0.4%
83.775749211
0.4%
83.341606141
0.4%
83.007606511
0.4%
82.356735231
0.4%

2007
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean48.70646815
Minimum5.61059999
Maximum90.10673523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:42.212524image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.61059999
5-th percentile15.22532988
Q131.63774586
median47.34029388
Q366.40172195
95-th percentile81.17286453
Maximum90.10673523
Range84.49613524
Interquartile range (IQR)34.76397609

Descriptive statistics

Standard deviation20.8695933
Coefficient of variation (CV)0.4284768346
Kurtosis-0.9709565647
Mean48.70646815
Median Absolute Deviation (MAD)18.17959595
Skewness-0.07042938907
Sum11446.02002
Variance435.5399245
MonotonicityNot monotonic
2022-04-02T14:56:42.336191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.78631772
 
0.8%
21.634952732
 
0.8%
46.224001072
 
0.8%
28.112720491
 
0.4%
69.413085941
 
0.4%
13.496917721
 
0.4%
52.917266851
 
0.4%
47.748264961
 
0.4%
43.755226141
 
0.4%
27.868959431
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
5.610599991
0.4%
5.653366571
0.4%
7.011788371
0.4%
7.60784961
0.4%
10.042842861
0.4%
10.413125041
0.4%
10.700824741
0.4%
12.092469221
0.4%
12.922475811
0.4%
13.496917721
0.4%
ValueCountFrequency (%)
90.106735231
0.4%
89.891738891
0.4%
87.215003971
0.4%
86.43176271
0.4%
85.357955931
0.4%
83.792427061
0.4%
83.70829011
0.4%
83.701095581
0.4%
82.515861511
0.4%
82.017601011
0.4%

2008
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct233
Distinct (%)99.1%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean48.83574821
Minimum5.84641886
Maximum92.26631165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:42.468181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.84641886
5-th percentile15.14466114
Q132.25382996
median48.348907
Q366.10163412
95-th percentile81.02489853
Maximum92.26631165
Range86.41989279
Interquartile range (IQR)33.84780417

Descriptive statistics

Standard deviation21.19340226
Coefficient of variation (CV)0.433973125
Kurtosis-0.9659864004
Mean48.83574821
Median Absolute Deviation (MAD)16.98646592
Skewness-0.09532719128
Sum11476.40083
Variance449.1602993
MonotonicityNot monotonic
2022-04-02T14:56:42.820211image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22.82763432
 
0.8%
34.583736542
 
0.8%
18.629989621
 
0.4%
29.460700991
 
0.4%
35.280384061
 
0.4%
22.393108371
 
0.4%
53.120975491
 
0.4%
48.885229951
 
0.4%
41.653671261
 
0.4%
29.685487751
 
0.4%
Other values (223)223
83.8%
(Missing)31
 
11.7%
ValueCountFrequency (%)
5.846418861
0.4%
6.120996951
0.4%
6.409521581
0.4%
8.106001851
0.4%
8.264053341
0.4%
8.549525261
0.4%
12.013399121
0.4%
12.95758821
0.4%
13.206759451
0.4%
14.198170661
0.4%
ValueCountFrequency (%)
92.266311651
0.4%
90.96945191
0.4%
89.891761781
0.4%
87.646141051
0.4%
84.134933471
0.4%
84.019866941
0.4%
83.830429081
0.4%
82.501449581
0.4%
82.21314241
0.4%
81.495712281
0.4%

2009
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean49.45767521
Minimum5.41736698
Maximum91.80177307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:42.944444image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.41736698
5-th percentile15.26170054
Q133.52359358
median49.7391243
Q367.57180232
95-th percentile81.40778809
Maximum91.80177307
Range86.38440609
Interquartile range (IQR)34.04820874

Descriptive statistics

Standard deviation21.13295631
Coefficient of variation (CV)0.4272937662
Kurtosis-0.9599676514
Mean49.45767521
Median Absolute Deviation (MAD)17.34239578
Skewness-0.1396398829
Sum11622.55368
Variance446.6018424
MonotonicityNot monotonic
2022-04-02T14:56:43.065968image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.33548212
 
0.8%
25.314461772
 
0.8%
46.224085562
 
0.8%
34.642074581
 
0.4%
51.324058531
 
0.4%
17.975389481
 
0.4%
55.554412841
 
0.4%
49.794286481
 
0.4%
38.208080291
 
0.4%
28.850429531
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
5.417366981
0.4%
6.854465481
0.4%
7.275340561
0.4%
7.590544221
0.4%
8.407386781
0.4%
8.662100791
0.4%
9.899150851
0.4%
10.233266831
0.4%
12.773004531
0.4%
12.811247831
0.4%
ValueCountFrequency (%)
91.801773071
0.4%
90.500602721
0.4%
86.71480561
0.4%
84.458755491
0.4%
84.436035161
0.4%
83.97972871
0.4%
82.88338471
0.4%
82.830223081
0.4%
82.740478521
0.4%
82.513916021
0.4%

2010
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct233
Distinct (%)98.7%
Missing30
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean49.28403174
Minimum5.47462463
Maximum91.73865509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:43.187644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.47462463
5-th percentile15.53764749
Q131.40469218
median50.2381064
Q366.57338142
95-th percentile82.23133087
Maximum91.73865509
Range86.26403046
Interquartile range (IQR)35.16868925

Descriptive statistics

Standard deviation21.20183261
Coefficient of variation (CV)0.4301967973
Kurtosis-0.9946708578
Mean49.28403174
Median Absolute Deviation (MAD)17.49905267
Skewness-0.1162790609
Sum11631.03149
Variance449.5177061
MonotonicityNot monotonic
2022-04-02T14:56:43.309319image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.004527732
 
0.8%
25.775871392
 
0.8%
43.158211232
 
0.8%
35.937088011
 
0.4%
59.794544221
 
0.4%
22.009641651
 
0.4%
53.056621551
 
0.4%
50.257462811
 
0.4%
40.992347721
 
0.4%
26.125871661
 
0.4%
Other values (223)223
83.8%
(Missing)30
 
11.3%
ValueCountFrequency (%)
5.474624631
0.4%
7.220710281
0.4%
8.896698951
0.4%
9.84077931
0.4%
10.30625821
0.4%
10.590643881
0.4%
11.363565441
0.4%
11.626022341
0.4%
13.306769371
0.4%
13.604302411
0.4%
ValueCountFrequency (%)
91.738655091
0.4%
91.424171451
0.4%
90.778648381
0.4%
85.930122381
0.4%
85.012504581
0.4%
84.680541991
0.4%
84.200790411
0.4%
83.879730221
0.4%
83.40902711
0.4%
83.127769471
0.4%

2011
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct234
Distinct (%)98.7%
Missing29
Missing (%)10.9%
Infinite0
Infinite (%)0.0%
Mean49.71641886
Minimum5.60622501
Maximum94.71844482
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:43.428123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.60622501
5-th percentile14.70256519
Q133.29073334
median50.81025829
Q365.70301819
95-th percentile81.96405487
Maximum94.71844482
Range89.11221981
Interquartile range (IQR)32.41228485

Descriptive statistics

Standard deviation21.086008
Coefficient of variation (CV)0.4241256407
Kurtosis-0.9079230943
Mean49.71641886
Median Absolute Deviation (MAD)16.3406538
Skewness-0.1745532894
Sum11782.79127
Variance444.6197335
MonotonicityNot monotonic
2022-04-02T14:56:43.542844image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.925675672
 
0.8%
28.235341632
 
0.8%
37.239966292
 
0.8%
84.423080441
 
0.4%
30.307165151
 
0.4%
41.12767411
 
0.4%
21.65233041
 
0.4%
53.245208741
 
0.4%
50.409403711
 
0.4%
41.620494841
 
0.4%
Other values (224)224
84.2%
(Missing)29
 
10.9%
ValueCountFrequency (%)
5.606225011
0.4%
6.693842411
0.4%
7.028331761
0.4%
7.132503991
0.4%
8.529389381
0.4%
10.731144911
0.4%
10.85278131
0.4%
11.959021571
0.4%
13.187048911
0.4%
13.467756271
0.4%
ValueCountFrequency (%)
94.718444821
0.4%
91.528129581
0.4%
88.987121581
0.4%
85.644920351
0.4%
84.481712341
0.4%
84.472991941
0.4%
84.423080441
0.4%
84.322410581
0.4%
83.740623471
0.4%
83.69435121
0.4%

2012
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct234
Distinct (%)99.2%
Missing30
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean49.81011775
Minimum4.34189463
Maximum91.14807129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:43.664519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.34189463
5-th percentile16.18531751
Q132.90981197
median50.98712753
Q365.42135048
95-th percentile82.57942772
Maximum91.14807129
Range86.80617666
Interquartile range (IQR)32.5115385

Descriptive statistics

Standard deviation20.6388986
Coefficient of variation (CV)0.414351532
Kurtosis-0.9254962194
Mean49.81011775
Median Absolute Deviation (MAD)15.71102692
Skewness-0.1430447704
Sum11755.18779
Variance425.9641354
MonotonicityNot monotonic
2022-04-02T14:56:43.783173image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.581949322
 
0.8%
27.598585132
 
0.8%
45.50384141
 
0.4%
44.443363191
 
0.4%
15.882246021
 
0.4%
53.931350711
 
0.4%
50.318256711
 
0.4%
41.768611911
 
0.4%
24.143419271
 
0.4%
16.202150341
 
0.4%
Other values (224)224
84.2%
(Missing)30
 
11.3%
ValueCountFrequency (%)
4.341894631
0.4%
8.222393041
0.4%
8.486601831
0.4%
8.98979951
0.4%
9.948934561
0.4%
11.021627431
0.4%
14.677968981
0.4%
15.14028741
0.4%
15.37130071
0.4%
15.802164081
0.4%
ValueCountFrequency (%)
91.148071291
0.4%
88.805427551
0.4%
87.890983581
0.4%
86.703605651
0.4%
84.755233761
0.4%
84.216552731
0.4%
83.979789731
0.4%
83.930686951
0.4%
83.634315491
0.4%
83.544395451
0.4%

2013
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean49.79933564
Minimum4.13339758
Maximum90.5925827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:43.906870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.13339758
5-th percentile16.11362648
Q132.42862129
median51.77824957
Q365.67656708
95-th percentile82.5609108
Maximum90.5925827
Range86.45918512
Interquartile range (IQR)33.24794578

Descriptive statistics

Standard deviation20.72863047
Coefficient of variation (CV)0.4162431126
Kurtosis-0.9158645523
Mean49.79933564
Median Absolute Deviation (MAD)15.98735254
Skewness-0.1968788401
Sum11702.84388
Variance429.6761213
MonotonicityNot monotonic
2022-04-02T14:56:44.030540image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43.918638542
 
0.8%
23.582003412
 
0.8%
34.966589032
 
0.8%
85.022941591
 
0.4%
37.757228851
 
0.4%
41.803871151
 
0.4%
18.021486281
 
0.4%
53.905612951
 
0.4%
50.877931051
 
0.4%
46.127513891
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
4.133397581
0.4%
5.034761911
0.4%
6.96953441
0.4%
7.835845471
0.4%
11.58277131
0.4%
12.951280591
0.4%
13.229593281
0.4%
13.325564381
0.4%
13.974921231
0.4%
14.117704391
0.4%
ValueCountFrequency (%)
90.59258271
0.4%
87.607803341
0.4%
87.240646361
0.4%
85.052673341
0.4%
85.022941591
0.4%
84.261177061
0.4%
84.260910031
0.4%
84.170295721
0.4%
84.020019531
0.4%
83.96836091
0.4%

2014
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean50.28267024
Minimum4.96025801
Maximum92.66539764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:44.155206image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.96025801
5-th percentile15.30299807
Q133.84879494
median52.58786025
Q365.99876022
95-th percentile83.10508576
Maximum92.66539764
Range87.70513963
Interquartile range (IQR)32.14996528

Descriptive statistics

Standard deviation20.89605617
Coefficient of variation (CV)0.4155717282
Kurtosis-0.8781936515
Mean50.28267024
Median Absolute Deviation (MAD)16.42224107
Skewness-0.2034632853
Sum11816.42751
Variance436.6451635
MonotonicityNot monotonic
2022-04-02T14:56:44.270931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.285942562
 
0.8%
23.907432722
 
0.8%
35.558649672
 
0.8%
85.28893281
 
0.4%
36.11931611
 
0.4%
45.072910311
 
0.4%
22.733539581
 
0.4%
54.735290531
 
0.4%
51.90272851
 
0.4%
46.18441011
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
4.960258011
0.4%
5.983561521
0.4%
6.779686451
0.4%
8.962446211
0.4%
10.360760691
0.4%
10.606405261
0.4%
12.672972681
0.4%
12.772022251
0.4%
13.317744261
0.4%
13.84381391
0.4%
ValueCountFrequency (%)
92.665397641
0.4%
90.250885011
0.4%
89.765968321
0.4%
86.743644711
0.4%
85.28893281
0.4%
84.588829041
0.4%
84.262832641
0.4%
84.189529421
0.4%
84.117858891
0.4%
84.039817811
0.4%

2015
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean50.7033578
Minimum5.17223978
Maximum95.02642059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:44.390609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.17223978
5-th percentile16.28648739
Q135.1456604
median53.5880953
Q366.63804771
95-th percentile82.49171676
Maximum95.02642059
Range89.85418081
Interquartile range (IQR)31.49238731

Descriptive statistics

Standard deviation20.87320977
Coefficient of variation (CV)0.4116731254
Kurtosis-0.8347199059
Mean50.7033578
Median Absolute Deviation (MAD)15.65613424
Skewness-0.2409994021
Sum11915.28908
Variance435.6908862
MonotonicityNot monotonic
2022-04-02T14:56:44.509997image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.365268312
 
0.8%
25.607875192
 
0.8%
36.585731722
 
0.8%
85.514602661
 
0.4%
38.622188571
 
0.4%
41.675575261
 
0.4%
28.649902341
 
0.4%
53.261123661
 
0.4%
52.175569931
 
0.4%
42.206634521
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
5.172239781
0.4%
6.613132481
0.4%
7.390202521
0.4%
8.037316321
0.4%
9.054848671
0.4%
10.107588771
0.4%
10.131197931
0.4%
10.182443621
0.4%
11.051776891
0.4%
11.345729831
0.4%
ValueCountFrequency (%)
95.026420591
0.4%
90.330505371
0.4%
89.415863041
0.4%
85.514602661
0.4%
85.215827941
0.4%
84.859230041
0.4%
84.505912781
0.4%
84.183197021
0.4%
84.082984921
0.4%
83.960990911
0.4%

2016
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct231
Distinct (%)98.7%
Missing32
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean51.04786829
Minimum5.0778451
Maximum95.02018738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:44.628834image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5.0778451
5-th percentile15.13665552
Q136.71358089
median52.27968636
Q366.66415214
95-th percentile82.18813629
Maximum95.02018738
Range89.94234228
Interquartile range (IQR)29.95057125

Descriptive statistics

Standard deviation20.80616188
Coefficient of variation (CV)0.407581405
Kurtosis-0.8242193934
Mean51.04786829
Median Absolute Deviation (MAD)15.37698593
Skewness-0.2331578195
Sum11945.20118
Variance432.8963722
MonotonicityNot monotonic
2022-04-02T14:56:44.745031image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.814063452
 
0.8%
26.696919722
 
0.8%
46.516858692
 
0.8%
39.96067811
 
0.4%
18.579563141
 
0.4%
44.112457281
 
0.4%
24.731576921
 
0.4%
51.248264311
 
0.4%
51.757068941
 
0.4%
46.895637511
 
0.4%
Other values (221)221
83.1%
(Missing)32
 
12.0%
ValueCountFrequency (%)
5.07784511
0.4%
5.818870071
0.4%
10.163615231
0.4%
11.01270581
0.4%
11.01947881
0.4%
11.172666551
0.4%
12.298505781
0.4%
12.337091451
0.4%
12.625305181
0.4%
13.020931241
0.4%
ValueCountFrequency (%)
95.020187381
0.4%
89.811004641
0.4%
89.607452391
0.4%
88.894203191
0.4%
85.529289251
0.4%
85.379447941
0.4%
85.316207891
0.4%
84.43627931
0.4%
84.26232911
0.4%
84.122413641
0.4%

2017
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean51.16885624
Minimum4.16938066
Maximum94.58857727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:44.869965image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.16938066
5-th percentile15.07459307
Q136.92212278
median53.06851959
Q367.70465847
95-th percentile82.23059006
Maximum94.58857727
Range90.41919661
Interquartile range (IQR)30.78253569

Descriptive statistics

Standard deviation20.53826679
Coefficient of variation (CV)0.4013821747
Kurtosis-0.7249131174
Mean51.16885624
Median Absolute Deviation (MAD)15.63017273
Skewness-0.2990493585
Sum12024.68122
Variance421.8204028
MonotonicityNot monotonic
2022-04-02T14:56:44.989644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48.829036742
 
0.8%
31.492951452
 
0.8%
36.922122782
 
0.8%
85.12066651
 
0.4%
37.121532441
 
0.4%
44.049758911
 
0.4%
22.667568211
 
0.4%
51.893043521
 
0.4%
51.638237451
 
0.4%
46.503639221
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
4.169380661
0.4%
5.095818521
0.4%
7.119333741
0.4%
8.441994671
0.4%
9.053017621
0.4%
9.949007031
0.4%
10.934350971
0.4%
11.771945951
0.4%
12.829121591
0.4%
13.244668961
0.4%
ValueCountFrequency (%)
94.588577271
0.4%
89.442131041
0.4%
87.214691161
0.4%
85.815818791
0.4%
85.709236151
0.4%
85.12066651
0.4%
84.781684881
0.4%
84.70673371
0.4%
84.214691161
0.4%
84.024017331
0.4%

2018
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)98.7%
Missing31
Missing (%)11.7%
Infinite0
Infinite (%)0.0%
Mean51.54891049
Minimum3.88780427
Maximum95.14164734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:45.108326image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.88780427
5-th percentile15.95331621
Q138.07595935
median52.53474955
Q367.74334335
95-th percentile82.78678513
Maximum95.14164734
Range91.25384307
Interquartile range (IQR)29.667384

Descriptive statistics

Standard deviation20.68747098
Coefficient of variation (CV)0.4013173273
Kurtosis-0.7423041794
Mean51.54891049
Median Absolute Deviation (MAD)14.89529185
Skewness-0.2840220559
Sum12113.99396
Variance427.9714555
MonotonicityNot monotonic
2022-04-02T14:56:45.228005image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46.411588332
 
0.8%
29.710556732
 
0.8%
39.261917442
 
0.8%
85.703498841
 
0.4%
39.243495941
 
0.4%
43.938781741
 
0.4%
24.440027241
 
0.4%
51.325702671
 
0.4%
51.767287381
 
0.4%
46.560829161
 
0.4%
Other values (222)222
83.5%
(Missing)31
 
11.7%
ValueCountFrequency (%)
3.887804271
0.4%
6.073252681
0.4%
6.262327191
0.4%
7.258434771
0.4%
9.272505761
0.4%
10.91522981
0.4%
12.190227511
0.4%
12.340106961
0.4%
14.828793531
0.4%
15.078377721
0.4%
ValueCountFrequency (%)
95.141647341
0.4%
88.905242921
0.4%
88.198379521
0.4%
87.658760071
0.4%
85.706962591
0.4%
85.703498841
0.4%
84.921150211
0.4%
84.784614561
0.4%
83.880561831
0.4%
83.770950321
0.4%

2019
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct232
Distinct (%)99.1%
Missing32
Missing (%)12.0%
Infinite0
Infinite (%)0.0%
Mean51.75702149
Minimum3.35470438
Maximum94.31989288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2022-04-02T14:56:45.350649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3.35470438
5-th percentile16.02618103
Q139.04441622
median52.6318415
Q366.2895442
95-th percentile82.50587883
Maximum94.31989288
Range90.9651885
Interquartile range (IQR)27.24512798

Descriptive statistics

Standard deviation20.33554125
Coefficient of variation (CV)0.3929040093
Kurtosis-0.7218161221
Mean51.75702149
Median Absolute Deviation (MAD)13.65338912
Skewness-0.2698625388
Sum12111.14303
Variance413.534238
MonotonicityNot monotonic
2022-04-02T14:56:45.513281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.777644442
 
0.8%
39.51572972
 
0.8%
86.306999211
 
0.4%
47.042160031
 
0.4%
32.592742921
 
0.4%
52.196651461
 
0.4%
51.808132151
 
0.4%
46.900291441
 
0.4%
35.690341951
 
0.4%
15.946592331
 
0.4%
Other values (222)222
83.5%
(Missing)32
 
12.0%
ValueCountFrequency (%)
3.354704381
0.4%
6.376373771
0.4%
8.189203261
0.4%
10.570106511
0.4%
11.018370631
0.4%
12.405081751
0.4%
14.004044531
0.4%
15.077074051
0.4%
15.116747861
0.4%
15.757532121
0.4%
ValueCountFrequency (%)
94.319892881
0.4%
89.284637451
0.4%
86.961135861
0.4%
86.444435121
0.4%
86.306999211
0.4%
85.869941711
0.4%
85.820060731
0.4%
84.96423341
0.4%
84.884658811
0.4%
83.856758121
0.4%

2020
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing266
Missing (%)100.0%
Memory size2.2 KiB

Interactions

2022-04-02T14:56:36.380485image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:02.546866image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:04.488773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:06.463659image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:08.216874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:09.956888image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-04-02T14:56:25.291781image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-04-02T14:56:30.752872image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:32.441301image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-04-02T14:56:20.450964image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:22.089489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:23.746201image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:25.632869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:27.331663image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-04-02T14:56:22.173290image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-04-02T14:56:32.602902image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:34.512658image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2022-04-02T14:56:08.131104image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:09.866130image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:11.865345image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:13.546124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:15.415048image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:17.064644image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:18.740980image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:20.613523image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:22.255046image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:23.907800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:25.801417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:27.501209image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:29.362924image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:30.996378image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:32.688639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:34.594440image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2022-04-02T14:56:36.292184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

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Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-04-02T14:56:46.534843image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-04-02T14:56:47.569415image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-04-02T14:56:48.328594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-04-02T14:56:38.727488image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-04-02T14:56:39.410181image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-04-02T14:56:39.853024image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

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